Data fusion algorithm for high accuracy coordinate transformation
A new data fusion algorithm is proposed to improve the coordinate transformation while geometrical measurements are made using laser tracker together with multi-joint measuring arms. A target ball was used as the common point for the laser tracker to directly measure the central coordinate of the target ball, and the multi-joint measurement arms were used to indirectly measure the central coordinate of the target ball by measuring the surface of the target ball. A least square coordinate transformation model based on Cartesian coordinate difference was established, according to the principle of least distance residual error for the coordinates of common points before and after coordinate transformation. The effectiveness of this approach was verified through experiments. Several common points were located within the range of multi-joint measurement arms so that the laser tracker could also measure them in the same way, and consequently the fusion of data from the different apparatus could be realized. Experiment results showed that this data fusion algorithm was effective, feasible and exhibit higher calculation accuracy.
laser tracker multi-joint measuring arms data fusion least square method
Jingliang Lv Chunfu Zhang Wenyan Tang
Department of Automation Measurement and Control, Harbin Institute of Technology, 92West Da-Zhi St., Department of Automation Measurement and Control, Harbin Institute of Technology, 92West Da-Zhi St., Department of Automation Measurement and Control, Harbin Institute of Technology, 92 West Da-Zhi St.
国际会议
第五届仪器科学与技术国际学术会议(ISIST 2008)Fifth International Symposium on Instrmentation Science and Technology
沈阳
英文
1-7
2008-09-15（万方平台首次上网日期，不代表论文的发表时间）